TY - JOUR
T1 - Mobile application development for improving medication safety in tuberculosis patients
T2 - A quasi-experimental study protocol
AU - Wijayanti, Erlina
AU - Bachtiar, Adang
AU - Achadi, Anhari
AU - Rachmawati, Ummi Azizah
AU - Sjaaf, Amal Chalik
AU - Eryando, Tris
AU - Besral,
AU - Trihono,
AU - Siregar, Kemal N.
AU - Vidiawati, Dhanasari
N1 - Funding Information:
YES. E.W. got the research sponsor from Lembaga Pengelola Dana Pendidikan (LPDP) Ministry of Finance of Republic Indonesia (grant number: KET-541/LPDP.4/2019). The researcher thanks Lembaga Pengelola Dana Pendidikan (LPDP) Ministry of Finance of Republic Indonesia and YARSI University.
Funding Information:
Funding:YES.E.W.gottheresearchsponsorfrom LembagaPengelolaDanaPendidikan(LPDP) MinistryofFinanceofRepublicIndonesia(grant number:KET-541/LPDP.4/2019).
Publisher Copyright:
© 2022 Wijayanti et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/9
Y1 - 2022/9
N2 - The COVID-19 pandemic, the growth of smartphones, and the internet have driven the use of technology for monitoring TB patients. Innovation in management of TB patients is needed to improve treatment outcomes. The study was conducted to obtain a predictive model of medication safety and solution model for at-risk patients, and to improve medication safety through mobile applications. The research was conducted in 4 stages, namely qualitative, quantitative (cross-sectional), qualitative, and quantitative (quasi-experimental, post-test group control design). Data were taken at the Public Health Center in Jakarta, Indonesia. Samples were taken by cluster random sampling. For quantitative research, 2nd phase (n = 114) and 4th phase (n = 96) were analyzed using logistic regression. This study analyzed predictors of medication safety to assist in monitoring patients undergoing treatment. At-risk patients were educated using an algorithm programmed in the application.
AB - The COVID-19 pandemic, the growth of smartphones, and the internet have driven the use of technology for monitoring TB patients. Innovation in management of TB patients is needed to improve treatment outcomes. The study was conducted to obtain a predictive model of medication safety and solution model for at-risk patients, and to improve medication safety through mobile applications. The research was conducted in 4 stages, namely qualitative, quantitative (cross-sectional), qualitative, and quantitative (quasi-experimental, post-test group control design). Data were taken at the Public Health Center in Jakarta, Indonesia. Samples were taken by cluster random sampling. For quantitative research, 2nd phase (n = 114) and 4th phase (n = 96) were analyzed using logistic regression. This study analyzed predictors of medication safety to assist in monitoring patients undergoing treatment. At-risk patients were educated using an algorithm programmed in the application.
UR - http://www.scopus.com/inward/record.url?scp=85137745832&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0272616
DO - 10.1371/journal.pone.0272616
M3 - Article
C2 - 36070321
AN - SCOPUS:85137745832
SN - 1932-6203
VL - 17
JO - PloS one
JF - PloS one
IS - 9 September
M1 - e0272616
ER -
